fix

app.py

@@ -1,14 +1,22 @@
+import tempfile
 import gradio as gr
 import tensorflow as tf
 from moviepy.editor import VideoFileClip
 from ultralytics import YOLO
 
-from core.data import ClassMapping
 from core.model import load_classifier
 from core.inference import FrameProcessor
-
 print("Tensorflow version " + tf.__version__)
 
+id_to_name = {
+  0: 'Flying',
+  1: 'Landing',
+  2: 'Other',
+  3: 'Straight Taxiing',
+  4: 'Takeoff',
+  5: 'Turning Maneuver',
+}
+
 print('Load classifier.')
 classifier_path = 'weights/classifier-7.keras'
 classifier = load_classifier(classifier_path)
@@ -19,19 +27,12 @@ detector = YOLO(detector_path)
 
 def fn(video: gr.Video):
   print('Process video.')
-  output = f'Marked-{str(video)}'
-  clip = VideoFileClip(video)
-  id_to_name = {
-    0: 'Flying',
-    1: 'Landing',
-    2: 'Other',
-    3: 'Straight Taxiing',
-    4: 'Takeoff',
-    5: 'Turning Maneuver',
-  }
-  process_frame = FrameProcessor(detector, classifier, id_to_name)
-  clip = clip.fl_image(process_frame)
-  clip.write_videofile(output, fps=clip.fps, audio_codec='aac', logger=None)
+  with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as f:
+    output = f.name
+    clip = VideoFileClip(video)
+    process_frame = FrameProcessor(detector, classifier, id_to_name)
+    clip = clip.fl_image(process_frame)
+    clip.write_videofile(output, fps=clip.fps, audio_codec='aac', logger=None)
   return output
 
 inputs = gr.Video(sources=['upload'], label='Input Video')